- Title
- Data science and artificial intelligence in biology, health, and healthcare
- Creators
- Peter L. Elkin - University at Buffalo, State University of New YorkChristopher Lindsell - Duke UniversityJulio Facelli - University of UtahManisha Desai - Stanford UniversityChunhua Weng - Columbia UniversityHeidi Spratt - The University of Texas Medical Branch at GalvestonShari Messinger - University of MiamiLemuel Russell Waitman - Supreme Council Of HealthJamor Hairston - Emory UniversityRuth O'Hara - Stanford UniversityJareen Meinzen-Derr - Cincinnati Children's Hospital Medical Center
- Publication Details
- Journal of clinical and translational science, Vol.9(1), p.e56
- Publisher
- Cambridge Univ Press
- Number of pages
- 2
- Grant note
- R21AA026954; R33AA0226954 / NIH NIAAA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Alcohol Abuse & Alcoholism (NIAAA) UL1TR002345 / Washington University Institute of Clinical and Translational Sciences from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) T15LM012495; R25LM014213 / NIH NLM; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM) UL1TR001412 / NIH NCATS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) UM1TR004556; UL1TR001873; UL1TR001425 / National Center for Advancing Translational Sciences, National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) UM1TR004409 / National Center for Advancing Translational Sciences, National Institutes of Health CTSA award UL1TR003142 / Stanford University Clinical and Translational Sciences Award from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH)
- Academic Unit
- Miller School of Medicine; UMMG Department of Public Health Sciences Research
- Language
- English
- Resource Type
- Journal article
- PMID
- 40201659
- Record Identifier
- 991032860776302976
Journal article
Data science and artificial intelligence in biology, health, and healthcare
Journal of clinical and translational science, Vol.9(1), p.e56
2025
PMID: 40201659
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